Transcript Slide 1

Navigating the
Numbers:
Greenhouse Gas Data
and
International
Climate Policy
COP11
December 5, 2005
Climate and Energy Program
World Resources Institute
Acknowledgements
• Data providers
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CDIAC
RIVM
IPCC
IEA
World Bank
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UNDP
U.S. EPA
U.S. EIA
UNFCCC
Houghton
• Funding providers
• U.S. EPA, Government of Norway, Wallace Global
Fund, Prospect Hill Foundation
Data – Policy Linkage
Working assumptions:
– Information is the first step to solving any problem
– Better information → better decisions
– “Delivery system” matters
1. CAIT
2. Navigating the Numbers report
Climate Analysis Indicator Tool (CAIT)
• A web-based information and analysis tool on global
climate change developed by WRI. CAIT includes:
– Data on all greenhouse gases (GHGs) and sources, plus
other policy-relevant data and indicators
– Data for 186 countries, plus regions
– Analysis tools (e.g., trend, sector, or gas analysis)
• Policy neutral
• 4,000 + registered users
Navigating the Numbers
• Objectives:
– Convey wealth of GHG data in digestible form
• Country-level data (Part I)
• Sector-level data (Part II)
– Identify policy-relevant insights from the data
(Parts I and II)
Part I: Country-level data
• Indicators
– Absolute, per capita, intensity
• Time periods
– Present, past, and future trends
• Emissions “Context”
– Drivers: GDP, population, fuel mix, efficiency, structure,
trade, fossil fuel reserves, etc.
– Socio-economic context: development indicators
Part II: Sector-level data
• Organize data: sector, end-use, gas
GHG Flow Diagram: Global Greenhouse Gas Emissions
Part II: Sector-level data
• Organize data: sector, end-use, gas
• Identify and evaluate key sectors
– Absolute, per capita; past and future trends
– Sector “context” data:
• Company-level production levels (e.g., iron, aluminum)
• Trade flows, investment, MNC presence
• GHG measurement and attribution issues
• International cooperation assessed across six criteria
Policy-Relevant Implications
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Global trends
Big emitters
Emission caps and developing countries
Formulaic approaches to commitments
Sectoral cooperation
Policy-Relevant Implications
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Global trends
Big emitters
Emission caps and developing countries
Formulaic approaches to commitments
Sectoral cooperation
Global CO2 Emissions Growth
Projected Future GHG Emissions Growth
% Percent change from 2000
Policy-Relevant Implications
• Global trends
• Big emitters
• Emission caps and developing countries
• Formulaic approaches to commitments
• Sectoral cooperation
Largest Emitters: Developed & Developing
Most Countries Contribute
Little to GHG Buildup
Top 25:
GHG Emissions
Population
GDP
Top 25: Extreme Diversity: Diversity of Approaches
Needed
Policy-Relevant Conclusions
• Global trends
• Big emitters
• Emission caps and developing countries
• Formulaic approaches to commitments
• Sectoral cooperation
Fixed targets: challenging in the context of massive uncertainty
Projected CO2 Emissions Growth to 2025
Policy-Relevant Conclusions
• Global trends
• Big emitters
• Emission caps and developing countries
• Formulaic approaches to commitments
• Sectoral cooperation
Historical Contributions: Major Data Constraints
Cumulative CO2 Emissions, Comparison of Different Time Periods
Emissions per Capita: Consensus?
GHG Emissions per Capita
Fuel mix affects CO2 emissions
Electric Power Sector
7%
10%
2%
5%
5%
10%
15%
CO2 “Imports”: Change in CO2 emissions if
accounting is on the basis of domestic consumption
15%
20%
17%
Trade affects CO2 emissions
-12%
China
Russia -16%
-11%
UK
USA
Germany
S. Korea
France
-20%
Japan
-15%
Canada
-7%
India
-10%
-6%
-5%
Australia
0%
Population Growth affects CO2 Emission trends
Policy-Relevant Conclusions
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Global trends
Big emitters
Emission caps and developing countries
Formulaic approaches to commitments
• Sectoral cooperation
International Sectoral Cooperation
• Did not address different “forms” of sectoral cooperation
• How important is the sector? [% global GHGs]
• Underlying rationale for sectoral cooperation
– Promote participation
– Avoid “leakage”
– Promote even regulatory playing field (competitiveness)
• How conductive to international cooperation? [6 criteria]
• Simple grading system: “+” “–” or no grade.
Summary of Sectoral Analysis
Sectoral Cooperation
• “Sector-only” model is unlikely be effective
• Comprehensive agreements can have:
– “Carve outs” [aviation]
– Special sectoral provisions [LUCF]
– Complementary sectoral agreements
• Analysis helps reveal:
– Where to target investment, technology, and policy
– Kyoto’s perceived success and failure
Conclusions
• Global trends are in the wrong direction
• Address GHGs in context of big emitting
countries and sectors
– Int’l cooperation, investment, technology
• No single indicator tells a complete story
• Data does not point directly toward a solution
– Nature and scale of problem
– Diverse national circumstances
Thank you!
Kevin Baumert
[email protected]
Tim Herzog
[email protected]
Jonathan Pershing
[email protected]